@article {13736, title = {Challenges in building an Arabic-English GHMT system with SMT components}, journal = {Proceedings of the 11th Annual Conference of the European Association for Machine Translation (EAMT-2006)}, year = {2006}, month = {2006///}, pages = {56 - 65}, abstract = {The research context of this paper is de-veloping hybrid machine translation (MT) systems that exploit the advantages of linguistic rule-based and statistical MT systems. Arabic, as a morphologically rich language, is especially challenging even without addressing the hybridiza- tion question. In this paper, we describe the challenges in building an Arabic- English generation-heavy machine trans- lation (GHMT) system and boosting it with statistical machine translation (SMT) components. We present an extensive evaluation of multiple system variants and report positive results on the advantages of hybridization. }, author = {Habash,N. and Dorr, Bonnie J and Monz,C.} }